Inspired by both the Lean Startup and Toyota's Lean Manufacturing, the Catalog Pull Platform moves away from trying to anticipate the needs and then "pushing" services and technology to patrons and staff, but instead identifies and responds to needs and demands for library technology by "pulling" directly from various constituencies served by libraries and cultural heritage organizations.
People
People are the first and most important source of library systems demand in the Catalog Pull Platform. By listening to patrons, staff, and other vested individuals we can build lightweight utilities to meet that need.
Institutions
Institutions are the second source of pull for the Catalog Pull Platform as both internal and external groups hold libraries accountable for implicit and explicit outcomes.
Algorithms
To function as first-class citizens in the networked information environment, the library's primary website and catalog must be easily found Google, Facebook, and other third parties.
By publishing their institution's organizational knowledge and collections as Linked Data and providing open APIs for use by other people and institutions, library systems function as critical asset.
Interested in Learning more?
My book Becoming a Lean Library is published by Chandos Publishing and goes into much more detail on how a Catalog Pull Platform can be used in improving Library operations and services.
Group Exercise
- Please divide yourselves into groups of three, four, or five people.
- For each source pull; come up two or three examples of pull from your own experience.
- Have own group member enter your responses by highlight and annotating each pull source - people, institutions, and algorithms - with https://hypothes.is
BIBCAT 1.0
Lessons learned
- Proof of concept
- Exploration of search technologies
- Challenge of developing vocabulary
Build-Measure-Learn Iterations for BIBCAT 2.0
Following the Lean Startup practice of build-measure-learn software development iterations, we are on the first iteration for BIBCAT 2.0 using BIBFRAME 2.0 as one of the core vocabularies.
Let's start building!
- Take your RDF MARC-to-BIBFRAME Map
- Convert a random sample of MARC records to BIBFRAME graphs
- Browse the results in the triplestore
The biggest promise of linked-data is in potential improvements to library work-flows while enhancing the accessibility and discoverablity of the library resources and services.
Also, the development of institutional knowledge graphs for managing and asserting statements about your local authorities such as people, concepts, etc.